Addons for the 'mice' package to perform multiple imputation using chained equations with two-level data. Includes imputation methods dedicated to sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2018) <doi:10.1214/18-STS646>, the choice of the imputation method for each variable can be facilitated by a default choice tuned according to the structure of the incomplete dataset. Allows parallel calculation and overimputation for 'mice'.
| Version: |
1.10.0 |
| Depends: |
R (≥ 3.5.0), mice (≥ 2.42) |
| Imports: |
Matrix, graphics, utils, stats, MASS, parallel, nlme, lme4, mvmeta (≥ 0.4.7), jomo (≥ 2.6-3), mvtnorm, digest, abind, GJRM (≥ 0.2-6.4), mgcv, mixmeta, pbivnorm |
| Suggests: |
VIM, ggplot2, data.table, broom.mixed |
| Published: |
2023-11-17 |
| DOI: |
10.32614/CRAN.package.micemd |
| Author: |
Vincent Audigier [aut, cre] (CNAM MSDMA team),
Matthieu Resche-Rigon [aut] (INSERM ECSTRA team),
Johanna Munoz Avila [ctb] (Julius Center Methods Group UMC, 2022) |
| Maintainer: |
Vincent Audigier <vincent.audigier at cnam.fr> |
| License: |
GPL-2 | GPL-3 |
| NeedsCompilation: |
no |
| In views: |
MissingData |
| CRAN checks: |
micemd results |